ICAT Playdate - Seeing Flavors

The goal of Seeing Flavors is to take open-ended descriptions of food—like recipes or product reviews—and extract descriptions using Natural Language Processing (NLP).  Thus, Seeing Flavors seeks to provide a deep-learning solution for a common task in food science: identifying and structuring descriptive language for sets of food products.  In the current project we have applied deep-learning approaches to a corpus of ~7000 whiskey reviews in order to develop automated, data-driven descriptive lexicons for whiskeys.

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Speakers: Jacob Lahne, Chreston Miller, Michael J. Stamper
Date: April 9, 2021
Time: 9am est